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, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory or instrument responsibilities
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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programming skills with python Comprehensive knowledge of data science, data analysis, data management as well as machine learning Experience with data-driven machine learning (SINDY, LASSO, SISSO packages
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hardware interfacing programming in Python Team-oriented and highly motivated to work in an experimental laboratory A background in quantum computing as well as experience with cryogenics, signal delivery
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” or Neuroeconomics is highly welcome, but not mandatory Knowledge of neuroscientific methods (fMRI, EEG, MEG or NIRS) and/or in psychophysics would be of great advantage Programming skills in Matlab, R or python and
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab). • Publication record appropriate to stage
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XRD, Raman, IR, TEM, XPS. • Experience (also for setup design) using CAD software (e.g., Solidwork), Python, MATLAB, or similar. The following papers are a good starting point to get familiar with
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approaches is optional but extremely useful. We require good programming skills and experience in C++ and its common programming idioms and design patterns . Knowledge of MATLAB, Python, Julia, or a similar